Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : ICube / Université de Strasbourg
Durée : 6 mois
Contact :
Date limite de publication : 2019-01-31

Contexte :
SERTIT, a service platform of ICube, known for its ISO certified rapid mapping service, is seeking to accelerate its mapping activities through artificial intelligence. This service assists in post-crisis emergency management (e.g. ground rescue, reconstruction efforts …).

Sujet :
– Users need to map buildings during rapid mapping after a disaster strikes
– Collaborate with research teams to transfer techniques from medical imaging to remote sensing
– Develop new innovative solutions to automatically extract building footprints using:
* Deep Learning
* Object based segmentation algorithms
* A combination of the above

Profil du candidat :
Undergraduate student of a computer science/geomatics degree or similar

Formation et compétences requises :
– Experience with the Python scientific computing ecosystem (Pandas, numpy, scikit-learn, scikit-image, etc.)
– Knowledge of Machine Learning workflows and techniques (e.g. best practices around training data management, understand basics of numerical optimization)
– Familiarity with Linux environments
– Have excellent communication skills and a strong team player
– Good knowledge of English, French is not mandatory
– Can-do attitude!

Adresse d’emploi :
ICube
300 boulevard Sébastien Brant
CS 10413
67412 Illkirch Cedex

Document attaché : Stage-2019-Offre-EN.pdf